at Google ScholarTitle data
Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
On the stability of Bootstrap estimators.
Cornell University Library, arXiv
:
Cornell University Library
,
2011
. - 12 p.
Official URL: 
Related URLs
Abstract in another language
It is shown that bootstrap approximations of an estimator
which is based on a continuous operator from the set of Borel probability measures defined on a compact metric space into a complete separable metric space is stable in the sense of qualitative robustness. Support vector machines based on shifted loss functions are treated as
special cases.
Further data
| Item Type: | Preprint, postprint |
|---|---|
| Keywords: | bootstrap; statistical machine learning; stability; support vector machine; robustness |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics > Chair Mathematics VII - Stochastics - Univ.-Prof. Dr. Andreas Christmann Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 310 Statistics 500 Science > 510 Mathematics |
| Date Deposited: | 19 Oct 2015 06:29 |
| Last Modified: | 21 Mar 2019 08:52 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20517 |